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http://dx.doi.org/10.5351/KJAS.2005.18.2.371

A Pattern Consistency Index for Detecting Heterogeneous Time Series in Clustering Time Course Gene Expression Data  

Son, Young-Sook (Department of Statistics, Chonnam National University)
Baek, Jang-Sun (Department of Statistics, Chonnam National University)
Publication Information
The Korean Journal of Applied Statistics / v.18, no.2, 2005 , pp. 371-379 More about this Journal
Abstract
In this paper, we propose a pattern consistency index for detecting heterogeneous time series that deviate from the representative pattern of each cluster in clustering time course gene expression data using the Pearson correlation coefficient. We examine its usefulness by applying this index to serum time course gene expression data from microarrays.
Keywords
Microarray; Time course gene expression data; Pearson correlation coefficient; Pattern consistency index; Hierarchical clustering;
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